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Senior Network Engineer - Infiniband / UFM

Lightning AINew York, NY

$170,000 - $210,000 / year

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Overview

Schedule
Flexible-schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Compensation
$170,000-$210,000/year
Benefits
Health Insurance
Dental Insurance
Vision Insurance

Job Description

Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems-designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.

The Way We Work

The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:

  • Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
  • Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
  • Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
  • Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
  • Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
  • Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.

The Role

We are seeking an experienced Senior Network Engineer (InfiniBand / UFM) to design, deploy, automate, and operate next-generation AI Factory networking infrastructure supporting large-scale GPU clusters. This role is responsible for building and maintaining high-performance NVIDIA Quantum InfiniBand fabrics that power AI training and inference environments utilizing NVIDIA UFM, NCCL, RoCEv2, and modern data center technologies.

The ideal candidate has deep expertise in InfiniBand networking, NVIDIA Unified Fabric Manager (UFM), large-scale GPU deployments, Linux networking, automation, and troubleshooting distributed AI workloads.

What You'll Do

  • Design, deploy, and maintain large-scale NVIDIA InfiniBand fabrics supporting AI/ML GPU clusters.
  • Deploy and administer NVIDIA Unified Fabric Manager (UFM) Enterprise for monitoring, provisioning, telemetry, and fabric health.
  • Configure and optimize NVIDIA Quantum and Quantum-2 InfiniBand switches.
  • Troubleshoot fabric performance issues impacting NCCL, MPI, GPUDirect RDMA, and AI training jobs.
  • Implement and validate fat-tree, Dragonfly+, Clos, and spine-leaf network architectures.
  • Perform firmware lifecycle management for InfiniBand switches, adapters (HCAs), and UFM infrastructure.
  • Optimize congestion control, adaptive routing, QoS, and traffic engineering for high-performance GPU communication.
  • Work closely with AI platform, GPU infrastructure, storage, and systems engineering teams to deploy scalable AI Factory environments.
  • Automate network provisioning using Python, Ansible, Git, REST APIs, and Infrastructure-as-Code methodologies.
  • Monitor network health using UFM telemetry, Prometheus, Grafana, and other observability platforms.
  • Support high availability, maintenance windows, incident response, root cause analysis, and capacity planning.
  • Participate in architecture reviews and define networking standards for AI infrastructure.

Required Qualifications

  • 7+ years of data center networking experience.

  • 3+ years supporting NVIDIA InfiniBand environments.

  • Hands-on experience with NVIDIA UFM Enterprise.

  • Experience deploying and operating Quantum and Quantum-2 InfiniBand switches.

  • Strong understanding of:

  • InfiniBand Architecture

  • Subnet Manager (SM)

  • Adaptive Routing

  • Congestion Control

  • Partition Keys (PKeys)

  • LIDs

  • Queue Pairs (QP)

  • Virtual Lanes (VL)

  • Service Levels (SL)

  • Strong Linux administration experience (Ubuntu).

  • Experience with automation using Python and Ansible.

  • Deep understanding of Layer 2 and Layer 3 networking.

  • Experience with BGP, EVPN, VXLAN, and modern spine-leaf architectures.

  • Experience with packet captures and troubleshooting using tcpdump, Wireshark, and ibdiagnet tools.

  • Excellent troubleshooting and communication skills.

What You Bring

  • 10+ years of experience in large-scale data center networking
  • Deep expertise in spine-leaf architectures and L3 fabrics
  • Strong experience with BGP, EVPN, VXLAN
  • Experience operating high-performance computing (HPC) or GPU-dense environments
  • Experience designing networks for hyperscalers, neoclouds, or high-scale SaaS infrastructure
  • Strong automation background (Python, Ansible, Terraform, or similar)
  • Experience with network observability tooling and telemetry pipelines

Proven ability to design systems that scale to thousands of nodes

  • Strong documentation and architectural communication skills

Nice to Have

  • Experience with Netris and Terraform.
  • Experience with multi-region backbone design
  • Exposure to bare-metal provisioning systems
  • Experience working in high-growth infrastructure startups

Why This Role Matters

The network is the foundation of distributed AI training. Performance bottlenecks at the fabric layer directly impact customer workloads.

This role will shape how Voltage Park scales from tens of thousands of GPUs to significantly beyond - ensuring deterministic performance, predictable scaling, and enterprise-grade reliability.

If you want to architect infrastructure that powers frontier AI research, this is the role.

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

The anticipated annual base salary range for this role is:

$170,000—$210,000 USD

Benefits and Perks

We offer a comprehensive and competitive benefits package designed to support our employees' health, well-being, and long-term success:

  • Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.
  • Meaningful Equity: RSUs that give employees a stake in the company's long-term success.
  • Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).
  • Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.
  • Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.
  • Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.
  • Professional Development: Annual learning and development allowance to support your professional growth.
  • Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.
  • Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.
  • Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.
  • In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

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FAQs About Senior Network Engineer - Infiniband / UFM Jobs at Lightning AI

What is the work location for this position at Lightning AI?
This job at Lightning AI is located in New York, NY, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Lightning AI?
Candidates can expect a pay range of $170,000 and $210,000 per year.
What employment applies to this position at Lightning AI?
Lightning AI lists this position under the following employment categories:
  • Flexible-schedule
  • Full-time
What experience level is required for this role at Lightning AI?
Lightning AI is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Lightning AI for this role?
Lightning AI offers following benefits: Health Insurance, Dental Insurance, Vision Insurance, Family/Dependent Health, Paid Holidays, Parental and Family Leave, Flexible/Unlimited PTO, Career Development, 401k Matching/Retirement Savings, Home Office Reimbursement/Stipend, and Health & Wellness Programs for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Lightning AI?
You can apply for this role at Lightning AI either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.